Model profile
MiniMax M3
Evidence coverage
45 of 323 tracked benchmarks are published. 22 are verified and 23 provisional. 7 of 8 categories are measured.
- Published / tracked
- 45 / 323
- Verified
- 22
- Provisional
- 23
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic18 benchmarksMixed evidence
- Coding9 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge7 benchmarksReported
- Math1 benchmarkVerified
- Multilingual0 benchmarksNot measured
- Multimodal7 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
MiniMax M3 ranks #15 out of 200 models on the public leaderboard with an overall score of 69.75/100. It also ranks #13 out of 99 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
MiniMax M3 is a open weight model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
BenchLM links it directly to MiniMax M2.7 as the earlier related model in that lineage. This profile currently has 45 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Multimodal & Grounded (#24), while its weakest is Agentic (#93). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 67.73–71.04
- Muse SparkMetaCompare#1371.04Muse Spark is #13 with a score of 71.04.
- MiMo-V2.5-ProXiaomiCompare#1470.19MiMo-V2.5-Pro is #14 with a score of 70.19.
- MiniMax M3Current modelMiniMax#1569.75MiniMax M3 is #15 with a score of 69.75.
- Claude Opus 4.6AnthropicCompare#1668.59Claude Opus 4.6 is #16 with a score of 68.59.
- MiMo-V2-ProXiaomiCompare#1767.78MiMo-V2-Pro is #17 with a score of 67.78.
- GLM-5.1Z.AICompare#1867.74GLM-5.1 is #18 with a score of 67.74.
- Gemini 3 ProGoogleCompare#1967.73Gemini 3 Pro is #19 with a score of 67.73.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Multimodal18%Eligible cohort rank #24 of 29Category score 48.2
- Knowledge41%Eligible cohort rank #31 of 52Category score 67.2
- Coding46%Eligible cohort rank #66 of 122Category score 49.5
- Agentic22%Eligible cohort rank #93 of 119Category score 40.8
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #93 of 119Percentile 22ndWeight 22%18 benchmarksMixed sources | 40.8 | #93 of 119 | 22nd | 22% | 18 benchmarks | Mixed sources |
| CodingRank #66 of 122Percentile 46thWeight 20%9 benchmarksMixed sources | 49.5 | #66 of 122 | 46th | 20% | 9 benchmarks | Mixed sources |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank #31 of 52Percentile 41stWeight 12%7 benchmarksReported | 67.2 | #31 of 52 | 41st | 12% | 7 benchmarks | Reported |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 85.7 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #24 of 29Percentile 18thWeight 12%7 benchmarksMixed sources | 48.2 | #24 of 29 | 18th | 12% | 7 benchmarks | Mixed sources |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1445 | ±5.3 | 27,238 |
| Coding | 1501 | ±7.9 | 7,948 |
| Math | 1444 | ±16.8 | 1,301 |
| Instruction Following | 1437 | ±7.6 | 9,066 |
| Creative Writing | 1408 | ±9.9 | 4,337 |
| Multi-turn | 1453 | ±9.4 | 5,007 |
| Hard Prompts | 1465 | ±6.3 | 18,041 |
| Hard Prompts (English) | 1475 | ±7.7 | 8,541 |
| Longer Query | 1455 | ±7.2 | 11,883 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic18 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Artificial Analysis Briefcase
Artificial Analysis EnterpriseOps-Gym
Artificial Analysis Harvey LAB-AA
Coding9 benchmarks
Software Engineering Benchmark Verified
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge7 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Artificial Analysis Openness Index
Math1 benchmark
United States of America Mathematical Olympiad 2026
Multimodal7 benchmarks
Massive Multi-discipline Multimodal Understanding Pro
Video-MME with subtitle
Design Arena Website Elo
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does MiniMax M3 perform overall in AI benchmarks?
MiniMax M3 currently ranks #15 out of 200 models on BenchLM's provisional leaderboard with an overall score of 69.75. It also ranks #13 out of 99 on the verified leaderboard. It is created by MiniMax. Its published context window is 1M.
Is MiniMax M3 good for knowledge and understanding?
MiniMax M3 ranks #31 out of 52 models in knowledge and understanding benchmarks with an average score of 67.2. There are stronger options in this category.
Is MiniMax M3 good for coding and programming?
MiniMax M3 ranks #66 out of 122 models in coding and programming benchmarks with an average score of 49.5. There are stronger options in this category.
Is MiniMax M3 good for mathematics?
MiniMax M3 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is MiniMax M3 good for reasoning and logic?
MiniMax M3 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is MiniMax M3 good for agentic tool use and computer tasks?
MiniMax M3 ranks #93 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 40.8. There are stronger options in this category.
Is MiniMax M3 good for multimodal and grounded tasks?
MiniMax M3 ranks #24 out of 29 models in multimodal and grounded tasks benchmarks with an average score of 48.2. There are stronger options in this category.
Is MiniMax M3 good for instruction following?
MiniMax M3 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is MiniMax M3 open source?
Yes, MiniMax M3 is an open weight model created by MiniMax, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does MiniMax M3 have full benchmark coverage on BenchLM?
Not yet. MiniMax M3 currently has 45 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of MiniMax M3?
MiniMax M3 has a published context window of 1M, which determines how much text it can process in a single interaction.
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